I dont think their model is working, and Im not sure it ever will. Simply reading brainwaves, a bi-product as I understand it, of the actual neuron activity, couldn't possibly give you an accurate result.
Natural image reconstruction from brain waves
21–30 of 41 posts
Re: Natural image reconstruction from brain waves
#22Imagine the shitshow this will cause once law enforcement adopts this.
Currently eyewitness criminal sketches are still drawn by artist so they are naturally low fidelity.
That will change once you can generate a photo of a face (like https://thispersondoesnotexist.com/) based on your brain waves.
This will be disastrous on so many levels. The eyewitness might not have a good sample of a minority race. The GAN dataset itself might also only be trained on celebrity faces so it doesn't know how to generate anything else (e.g., a teen).
But it will be deceptively high resolution so police will rely on it.
If you have a generic face your life is fucked.
Re: Natural image reconstruction from brain waves
#23Imagine the shitshow this will cause once law enforcement adopts this. Currently eyewitness criminal sketches are still drawn by artist so they are naturally low fidelity. That will change once you can generate a photo of a face (like https://thispersondoesnotexist.com/ ) based on your brain waves. This will be disastrous on so many levels. The eyewitness might not have a good sample of a minority race. The GAN datas…
OR they will just find out that this method can just as easily be producing a picture that someone who is good at visualizing just made up in their mind and is actually "looking at" in their mind's eye. This making this technique useless as a form of truth seeking machine.
Re: Natural image reconstruction from brain waves
#24I'm highly skeptical. I mean, a hash function that has four output states also maps anything to one of those four states. That doesn't mean it's some next-level classifier. The problem here is EEG. EEG bandwidth is not enough to capture that much information. There is far too much noise introduced by the skull and muscles. It's most likely physically impossible to do something like this with EEG. What's likely happen…
There is at least one 'affordable' fNIRS device coming to market that looks promising, https://foc.us/fnirs-sensor/ There's a paper somewhere on using machine learning to help identify signal, this one is specifically about pain, https://www.nature.com/articles/s41598-019-42098-w Say for example you were making an insurance claim for neuropathic pain, this kind of information could be very important.
Instead, it will be repurposed for lie detectors and 'terrorist mindset detectors' in airports.
Re: Natural image reconstruction from brain waves
#25I'm highly skeptical. I mean, a hash function that has four output states also maps anything to one of those four states. That doesn't mean it's some next-level classifier. The problem here is EEG. EEG bandwidth is not enough to capture that much information. There is far too much noise introduced by the skull and muscles. It's most likely physically impossible to do something like this with EEG. What's likely happen…
There is at least one 'affordable' fNIRS device coming to market that looks promising, https://foc.us/fnirs-sensor/ There's a paper somewhere on using machine learning to help identify signal, this one is specifically about pain, https://www.nature.com/articles/s41598-019-42098-w Say for example you were making an insurance claim for neuropathic pain, this kind of information could be very important.
This is amazing. A not-hotdog for pain would definitely be useful!
Re: Natural image reconstruction from brain waves
#26What would a world look like where all thoughts are public?
You would still likely need sophisticated equipment to read them. Psycho-Pass explores some aspects of that question.
Re: Natural image reconstruction from brain waves
#27I'm highly skeptical. I mean, a hash function that has four output states also maps anything to one of those four states. That doesn't mean it's some next-level classifier. The problem here is EEG. EEG bandwidth is not enough to capture that much information. There is far too much noise introduced by the skull and muscles. It's most likely physically impossible to do something like this with EEG. What's likely happen…
About a decade ago when I was still in school, I did some work in brain machine interfaces as well as a friend. I made an EEG from scratch, worked on the DSP and amplifications to make it all work, and also had access to a much more expensive state-of-the-art machine. While I didn't work directly on the project with my friend, at the time they came to the conclusion that non-invasive neural processing (so something t…
Exactly. I have always been wondering how could the brain waves measurements not be overwhelmed by facial muscle signals.
Re: Natural image reconstruction from brain waves
#28Earlier quoted context omitted.
About a decade ago when I was still in school, I did some work in brain machine interfaces as well as a friend. I made an EEG from scratch, worked on the DSP and amplifications to make it all work, and also had access to a much more expensive state-of-the-art machine. While I didn't work directly on the project with my friend, at the time they came to the conclusion that non-invasive neural processing (so something t…
Exactly. I have always been wondering how could the brain waves measurements not be overwhelmed by facial muscle signals.
If you have multiple different points where you measure, which all have this overlapping signal problems but at different strengths, couldn't you hypothetically build up a model that "solves" these different weights and untangles the signals?
Re: Natural image reconstruction from brain waves
#29Imagine the shitshow this will cause once law enforcement adopts this. Currently eyewitness criminal sketches are still drawn by artist so they are naturally low fidelity. That will change once you can generate a photo of a face (like https://thispersondoesnotexist.com/ ) based on your brain waves. This will be disastrous on so many levels. The eyewitness might not have a good sample of a minority race. The GAN datas…
Reminds me the Crocodile episode from Black Mirror:
https://www.vox.com/culture/2017/12/29/16808458/black-mirror...
Re: Natural image reconstruction from brain waves
#30I'm highly skeptical. I mean, a hash function that has four output states also maps anything to one of those four states. That doesn't mean it's some next-level classifier. The problem here is EEG. EEG bandwidth is not enough to capture that much information. There is far too much noise introduced by the skull and muscles. It's most likely physically impossible to do something like this with EEG. What's likely happen…
fMRI seems to avoid many of the bandwidth issues EEG has, at least from a theoretical if not practical position.
With enough receive antennas and processing power, you can get almost unbounded 3D resolution.